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TypeScript Analyzer MCP Server - Enterprise Edition

MCP Server

Analyze and fix TypeScript any types with intelligent inference and caching

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Updated May 6, 2025

About

A high‑performance MCP server that scans TypeScript files for any types, suggests precise replacements, and can automatically apply fixes. It supports batch processing, caching, dynamic configuration, and generates React component interfaces for improved code quality.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

TypeScript Analyzer MCP Server – Enterprise Edition

The TypeScript Analyzer MCP Server is a specialized tool that lets AI assistants, such as Claude, interrogate and transform TypeScript codebases on demand. It addresses a common pain point for modern web teams: the pervasive use of the type. By automatically detecting, reporting, and replacing these unsafe types with more precise alternatives, the server helps teams tighten type safety without sacrificing speed.

At its core, the server offers a set of declarative tools that expose a clean API to AI workflows. When an assistant receives a request, it can invoke to scan a single file or to process an entire directory. The analysis results include a list of offending declarations, suggested replacements based on a configurable mapping strategy, and optional diagnostics. The companion tool applies those suggestions, optionally creating a backup or running in dry‑run mode so developers can review changes before they hit the repository. This tight coupling between analysis and modification enables a continuous‑type‑safety pipeline that can be triggered from chat, CI jobs, or IDE extensions.

Beyond basic replacement, the server shines in its support for React component interfaces. The tool parses a component file, extracts prop usage patterns, and emits a fully typed interface that can be dropped into the codebase. This reduces boilerplate and ensures that component contracts are enforced by the compiler, which is especially valuable in large mono‑repos where components are shared across teams.

Key features include:

  • High‑performance caching that remembers previous analyses, drastically reducing latency for incremental changes.
  • Dynamic configuration via , allowing runtime tweaks to log levels, cache policies, or type‑mapping rules.
  • Robust error handling that surfaces parsing failures and ambiguous patterns, giving the assistant context to ask clarifying questions.
  • Batch processing with concurrency control, enabling rapid remediation of thousands of files in a single command.

Typical use cases span the full development lifecycle. During code reviews, an assistant can surface all remaining types and suggest fixes before a pull request is merged. In continuous integration pipelines, the server can enforce a “no any” policy by running and failing the build if unsanitized types remain. For onboarding new developers, the assistant can automatically generate typed interfaces for legacy components, accelerating learning and reducing runtime bugs.

Integration is straightforward: the server exposes a standard MCP endpoint that Claude Desktop or any compliant client can call. By registering it in the configuration, developers unlock a powerful AI‑driven refactoring workflow that blends static analysis with natural language instruction. This combination of precision, speed, and developer ergonomics makes the TypeScript Analyzer MCP Server a standout addition to any TypeScript‑centric toolkit.